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高等职业教育计算机网络技术课程的全过程混合教学模式设计

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高职电子信息类专业课程的混合式教学过程中,普遍存在教师获取学生需求困难、个性化辅导有效率低及教学资源缺乏精准推荐依据等问题.以计算机网络技术课程为例,通过应用在线教学云平台、大数据分析和人工智能技术,提出"课前推荐资源引发兴趣,课中加强互动提高效率,课后数据驱动个性辅导"的全过程混合教学模式,为全过程混合式教学实现了闭环,为个性化教法改革提供了有效方法.
Design of a Full-process Blended Teaching Model for the Course of Computer Network Technology in Higher Vocational Education
In the blended teaching process of electronic information professional courses in higher vocational education,there are common challenges such as difficulties for teachers to obtain students'needs,low efficiency of personalized guidance,and a lack of accurate recommendation basis for teaching resources.Take the course of Computer Network Technology for example,this paper proposes a whole-process blended teaching model of"pre-course recommending resources to stimulate interest,in-course enhancing interaction to improve efficiency,and post-course data-driven personalized tutoring"through the application of online teaching cloud platforms,big data analysis,and artificial intelligence technology.This model realizes a closed loop for whole-process blended teach-ing and provides an effective method for personalized teaching method reform.

cloud platformbig dataArtificial Intelligenceentire processblended learningpersonalized teaching method

黄昊晶、陈晓勤、陈卓实

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广东开放大学(广东理工职业学院),广东 广州 510091

云平台 大数据 人工智能 全过程 混合式教学 个性化教法

2024

电脑与电信
广东省对外科技交流中心

电脑与电信

影响因子:0.117
ISSN:1008-6609
年,卷(期):2024.(10)